Additional file 1 of Association between triglyceride glucose index and arterial stiffness and coronary artery calcification: a systematic review and exposure-effect meta-analysis
Bibliographic record
Abstract
Additional file 1: Table S1. PRISMA Checklist. Table S2. Search strategy. Table S3. Studies excludedwith reasons. Table S4. Joanna Briggs Institute critical appraisal checklist applied for included studies. Table S5. Quality assessment of the included studies by Newcastle–Ottawa scale. Table S6. Odds ratio from the linear dose-response analysis. Figure S1. Sensitivity analysis of the association between triglyceride-glucose index and the risk of arterial stiffnessand coronary artery calcification. Figure S2. Publication bias detected by funnel plot, Egger’s test and Begg’s test for the association between TyGand the risk of arterial stiffness. Figure S3. Publication bias detected by funnel plot, Egger’s test and Begg’s test for the association between TyGand the risk of coronary artery calcification..
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.180 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".